CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

CIO Business Intelligence

JULY 26, 2023

But in reality, some of the largest, most established realty franchises, such as Re/Max and Keller Williams, have made all the right moves, pursuing digital transformations built on the cloud and primed to make the most of emerging AI opportunities. Data Management, Digital Transformation, Machine Learning

Data Lake 94

Data Lake Digital Transformation Machine Learning Data Architecture 94

bridgei2i

NOVEMBER 25, 2020

Many of the underlying processes in insurance which had already started evolving due to the adoption of digital and intelligent automation across functions have scaled substantially in the post-COVID world. With direct selling becoming obsolete, salespeople must fall back on digital channels, backed by a robust automated underwriting process.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. The focus on customer experience is a critical component to a bank’s digital transformation strategy.

Unstructured Data 68

Unstructured Data Data-driven Machine Learning Digital Transformation 68

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

bridgei2i

AUGUST 25, 2020

Modern-day enterprises are trying to Sense, Learn, and Act to use these data for better CX, OE, or to execute whole New Business Models. Data, when coupled with the power of AI can make enterprises better understand customer needs, enhance CX, optimize processes, and improve productivity.

Enterprise 52

Enterprise Unstructured Data Digital Transformation Statistics 52

IBM Big Data Hub

DECEMBER 4, 2023

IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business. The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

bridgei2i

OCTOBER 7, 2020

As face to face contact, operating offline offices, physical audits and ancillary processes face constraints; these increasingly move to the digital bandwagon. In days ahead, digital transformation will be the saviour and guide of the industry. Importance of capturing market data for optimized pricing models.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

CIO Business Intelligence

SEPTEMBER 2, 2022

Software engineers are at the forefront of digital transformation in the financial services industry by helping companies automate processes, release scalable applications, and keep on top of emerging technology trends. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

Software engineers are at the forefront of digital transformation in the financial services industry by helping companies automate processes, release scalable applications, and keep on top of emerging technology trends. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

Cloudera

JANUARY 28, 2022

Portable, interoperable data services for the lifecycle of data across clouds. A decision framework to automate and optimize workload execution. Open and extensible to support new clouds, data types and data services. Separated compute and storage for scale and agility.

Slice and Dice 109

Slice and Dice Cost-Benefit Risk Data Governance 109

Ontotext

DECEMBER 1, 2023

François Scharffe of The Data Chefs presenting at KGF 2023 Aurelije Zovko CEO at Zenia Graph, presented another example of a knowledge graph humming under optimized sales processes in his talk “Leveraging the Power of Knowledge Graphs, LLMs, and ML to Turbocharge Sales Growth”.

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

AUGUST 30, 2018

How do I get to the next level in the data-driven journey fast enough? How do I meet a growing demand for self-serve BI, while not exploding my data warehouse budgets? How can I optimize my rate of return and continue to drive innovation? Tough decisions. Complex scenarios. The post Introducing Cloudera Enterprise 6.0

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 76

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 76

Cloudera

JULY 29, 2022

Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks. They can outperform competitors by applying machine learning and artificial intelligence to understand and optimize the customer experience while aiding service assurance.

Data Architecture 83

Data Architecture Data Strategy Risk Management Strategy 83

Cloudera

JULY 26, 2021

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g.,

Strategy 114

Strategy Marketing Unstructured Data Data Science 114

IBM Big Data Hub

JANUARY 16, 2024

As companies fast-track their IT modernization to accelerate digital transformation and gain business advantage, a significant opportunity emerges. It helps identify energy or carbon hotspots to develop an optimization roadmap. Additionally, optimize VM sizing based on network traffic through auto-scaling.

IT 92

IT Cost-Benefit Consulting Measurement 92

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Timo Elliott

JANUARY 22, 2019

Understanding and optimizing the customer experience is the bedrock of successful digital transformation. Traditional analytics focused on structured data flowing from operational systems. Newer analytic platforms have blended more unstructured data such as text, images, and raw sensor readings into analytic workflows.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

bridgei2i

APRIL 9, 2019

Although the digital transformation of enterprises may seem challenging, it is not impossible. One needs to embrace the transformation with a little patience and lots of learning to survive and thrive in the current landscape. The banking sector that makes the most use of AI is wealth management.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

bridgei2i

MAY 7, 2019

Although the digital transformation of enterprises may seem challenging, it is not impossible. One needs to embrace the transformation with a little patience and lots of learning to survive and thrive in the current landscape. The banking sector that makes the most use of AI is wealth management.

IoT 40

IoT Unstructured Data Finance Data-driven 40

CIO Business Intelligence

AUGUST 1, 2023

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. That’s my key advice to CIOs and IT leaders.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

bridgei2i

MAY 21, 2019

Although the digital transformation of enterprises may seem challenging, it is not impossible. One needs to embrace the transformation with a little patience and lots of learning to survive and thrive in the current landscape. The banking sector that makes the most use of AI is wealth management.

Unstructured Data 40

Unstructured Data Sales Data-driven Finance 40

Sisense

JULY 23, 2021

We focus on the core games management systems, which generate a lot of key operational data, so we’ve been naturally a lot more inquisitive of those datasets. We are focused on unpicking them, really analyzing them to understand what they tell us about Games optimization.”. The results have been highly valuable.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 61

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 61

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

CIO Business Intelligence

JULY 6, 2023

For example, IDP uses native AI to quickly and accurately extract data from business documents of all types, for both structured and unstructured data,” Reis says. This is especially important for us because our work spans many forms of content — from more traditional form-based documents to unstructured email communications.”

Cost-Benefit 116

Cost-Benefit Technology Unstructured Data Testing 116

Alation

NOVEMBER 22, 2022

This is why public agencies are increasingly turning to an active governance model, which promotes data visibility alongside in-workflow guidance to ensure secure, compliant usage. An active data governance framework includes: Assigning data stewards. Standardizing data formats. Quantifying effectiveness with metrics.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52